Profile Report Electric Vehicle Data

Brought to you by YData

Dataset statistics

Number of variables	18
Number of observations	64353
Missing cells	1455
Missing cells (%)	0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	8.8 MiB
Average record size in memory	144.0 B

Variable types

Text	8
Categorical	4
Numeric	6

Alerts

`Clean Alternative Fuel Vehicle (CAFV) Eligibility` is highly overall correlated with `Electric Range` and 2 other fields	High correlation
`Electric Range` is highly overall correlated with `Clean Alternative Fuel Vehicle (CAFV) Eligibility` and 1 other fields	High correlation
`Electric Vehicle Type` is highly overall correlated with `Clean Alternative Fuel Vehicle (CAFV) Eligibility` and 2 other fields	High correlation
`Make` is highly overall correlated with `Clean Alternative Fuel Vehicle (CAFV) Eligibility` and 1 other fields	High correlation
`State` is highly overall correlated with `ZIP Code`	High correlation
`ZIP Code` is highly overall correlated with `State`	High correlation
`State` is highly imbalanced (99.3%)	Imbalance
`Electric Utility` has 722 (1.1%) missing values	Missing
`ZIP Code` is highly skewed (γ1 = -26.17372874)	Skewed
`ID` has unique values	Unique
`DOL Vehicle ID` has unique values	Unique
`Electric Range` has 14938 (23.2%) zeros	Zeros
`Base MSRP` has 61263 (95.2%) zeros	Zeros

Reproduction

Analysis started	2025-06-15 17:23:44.082259
Analysis finished	2025-06-15 17:24:07.358256
Duration	23.28 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

ID
Text

Unique

Distinct	64353
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	502.9 KiB

Length

Max length	7
Median length	7
Mean length	6.8796482
Min length	3

Characters and Unicode

Total characters	442726
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	64353 ?
Unique (%)	100.0%

Sample

1st row	EV33174
2nd row	EV40247
3rd row	EV12248
4th row	EV55713
5th row	EV28799

Value	Count	Frequency (%)
ev40247	1	< 0.1%
ev70672	1	< 0.1%
ev70740	1	< 0.1%
ev35919	1	< 0.1%
ev84495	1	< 0.1%
ev26346	1	< 0.1%
ev25141	1	< 0.1%
ev73428	1	< 0.1%
ev1574	1	< 0.1%
ev67089	1	< 0.1%
Other values (64343)	64343	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
E	64353	14.5%
V	64353	14.5%
1	33317	7.5%
4	32701	7.4%
2	32673	7.4%
8	32653	7.4%
3	32644	7.4%
7	32587	7.4%
5	32475	7.3%
6	32471	7.3%
Other values (2)	52499	11.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	442726	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	64353	14.5%
V	64353	14.5%
1	33317	7.5%
4	32701	7.4%
2	32673	7.4%
8	32653	7.4%
3	32644	7.4%
7	32587	7.4%
5	32475	7.3%
6	32471	7.3%
Other values (2)	52499	11.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	442726	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	64353	14.5%
V	64353	14.5%
1	33317	7.5%
4	32701	7.4%
2	32673	7.4%
8	32653	7.4%
3	32644	7.4%
7	32587	7.4%
5	32475	7.3%
6	32471	7.3%
Other values (2)	52499	11.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	442726	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	64353	14.5%
V	64353	14.5%
1	33317	7.5%
4	32701	7.4%
2	32673	7.4%
8	32653	7.4%
3	32644	7.4%
7	32587	7.4%
5	32475	7.3%
6	32471	7.3%
Other values (2)	52499	11.9%

VIN (1-10)
Text

Distinct	5644
Distinct (%)	8.8%
Missing	0
Missing (%)	0.0%
Memory size	502.9 KiB

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	643530
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1274 ?
Unique (%)	2.0%

Sample

1st row	5YJ3E1EC6L
2nd row	JN1AZ0CP8B
3rd row	WBY1Z2C56F
4th row	1G1RD6E44D
5th row	1G1FY6S05K

Value	Count	Frequency (%)
5yjygdee9m	340	0.5%
5yjygdee0m	334	0.5%
5yjygdee8m	333	0.5%
5yjygdee6m	323	0.5%
5yjygdee2m	317	0.5%
5yjygdee4m	306	0.5%
5yjygdeexm	304	0.5%
5yjygdee7m	302	0.5%
5yjygdee1m	288	0.4%
5yjygdee5m	288	0.4%
Other values (5634)	61218	95.1%

Most occurring characters

Value	Count	Frequency (%)
1	57081	8.9%
E	55788	8.7%
J	43480	6.8%
5	39535	6.1%
Y	38081	5.9%
A	32079	5.0%
3	28450	4.4%
C	26776	4.2%
D	22202	3.5%
G	21841	3.4%
Other values (23)	278217	43.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	643530	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	57081	8.9%
E	55788	8.7%
J	43480	6.8%
5	39535	6.1%
Y	38081	5.9%
A	32079	5.0%
3	28450	4.4%
C	26776	4.2%
D	22202	3.5%
G	21841	3.4%
Other values (23)	278217	43.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	643530	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	57081	8.9%
E	55788	8.7%
J	43480	6.8%
5	39535	6.1%
Y	38081	5.9%
A	32079	5.0%
3	28450	4.4%
C	26776	4.2%
D	22202	3.5%
G	21841	3.4%
Other values (23)	278217	43.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	643530	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	57081	8.9%
E	55788	8.7%
J	43480	6.8%
5	39535	6.1%
Y	38081	5.9%
A	32079	5.0%
3	28450	4.4%
C	26776	4.2%
D	22202	3.5%
G	21841	3.4%
Other values (23)	278217	43.2%

County
Text

Distinct	139
Distinct (%)	0.2%
Missing	4
Missing (%)	< 0.1%
Memory size	502.9 KiB

Length

Max length	20
Median length	4
Mean length	5.4533404
Min length	4

Characters and Unicode

Total characters	350917
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	73 ?
Unique (%)	0.1%

Sample

1st row	Snohomish
2nd row	Skagit
3rd row	Pierce
4th row	King
5th row	Pierce

Value	Count	Frequency (%)
king	33552	51.4%
snohomish	6920	10.6%
pierce	4825	7.4%
clark	3771	5.8%
thurston	2446	3.7%
kitsap	2302	3.5%
whatcom	1714	2.6%
spokane	1579	2.4%
benton	812	1.2%
skagit	779	1.2%
Other values (144)	6555	10.0%

Most occurring characters

Value	Count	Frequency (%)
i	50732	14.5%
n	50003	14.2%
K	36167	10.3%
g	34582	9.9%
o	22058	6.3%
h	18517	5.3%
a	16780	4.8%
s	14197	4.0%
e	13869	4.0%
r	12670	3.6%
Other values (39)	81342	23.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	350917	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	50732	14.5%
n	50003	14.2%
K	36167	10.3%
g	34582	9.9%
o	22058	6.3%
h	18517	5.3%
a	16780	4.8%
s	14197	4.0%
e	13869	4.0%
r	12670	3.6%
Other values (39)	81342	23.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	350917	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	50732	14.5%
n	50003	14.2%
K	36167	10.3%
g	34582	9.9%
o	22058	6.3%
h	18517	5.3%
a	16780	4.8%
s	14197	4.0%
e	13869	4.0%
r	12670	3.6%
Other values (39)	81342	23.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	350917	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	50732	14.5%
n	50003	14.2%
K	36167	10.3%
g	34582	9.9%
o	22058	6.3%
h	18517	5.3%
a	16780	4.8%
s	14197	4.0%
e	13869	4.0%
r	12670	3.6%
Other values (39)	81342	23.2%

City
Text

Distinct	544
Distinct (%)	0.8%
Missing	9
Missing (%)	< 0.1%
Memory size	502.9 KiB

Length

Max length	24
Median length	23
Mean length	8.2481039
Min length	3

Characters and Unicode

Total characters	530716
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	174 ?
Unique (%)	0.3%

Sample

1st row	LYNNWOOD
2nd row	BELLINGHAM
3rd row	TACOMA
4th row	REDMOND
5th row	PUYALLUP

Value	Count	Frequency (%)
seattle	11887	15.9%
bellevue	3354	4.5%
redmond	2448	3.3%
vancouver	2303	3.1%
kirkland	2086	2.8%
island	2083	2.8%
sammamish	1874	2.5%
bothell	1771	2.4%
olympia	1550	2.1%
renton	1512	2.0%
Other values (574)	43719	58.6%

Most occurring characters

Value	Count	Frequency (%)
E	76299	14.4%
A	53379	10.1%
L	50980	9.6%
T	40350	7.6%
N	35704	6.7%
O	33111	6.2%
S	32680	6.2%
R	27532	5.2%
I	23867	4.5%
M	21136	4.0%
Other values (17)	135678	25.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	530716	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	76299	14.4%
A	53379	10.1%
L	50980	9.6%
T	40350	7.6%
N	35704	6.7%
O	33111	6.2%
S	32680	6.2%
R	27532	5.2%
I	23867	4.5%
M	21136	4.0%
Other values (17)	135678	25.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	530716	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	76299	14.4%
A	53379	10.1%
L	50980	9.6%
T	40350	7.6%
N	35704	6.7%
O	33111	6.2%
S	32680	6.2%
R	27532	5.2%
I	23867	4.5%
M	21136	4.0%
Other values (17)	135678	25.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	530716	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	76299	14.4%
A	53379	10.1%
L	50980	9.6%
T	40350	7.6%
N	35704	6.7%
O	33111	6.2%
S	32680	6.2%
R	27532	5.2%
I	23867	4.5%
M	21136	4.0%
Other values (17)	135678	25.6%

State
Categorical

High correlation Imbalance

Distinct	38
Distinct (%)	0.1%
Missing	11
Missing (%)	< 0.1%
Memory size	502.9 KiB

WA	64168
CA	40
MD	22
VA	21
TX	11
Other values (33)	80

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	128684
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	< 0.1%

Sample

1st row	WA
2nd row	WA
3rd row	WA
4th row	WA
5th row	WA

Common Values

Value	Count	Frequency (%)
WA	64168	99.7%
CA	40	0.1%
MD	22	< 0.1%
VA	21	< 0.1%
TX	11	< 0.1%
OR	6	< 0.1%
FL	5	< 0.1%
NV	5	< 0.1%
NC	5	< 0.1%
PA	4	< 0.1%
Other values (28)	55	0.1%
(Missing)	11	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
wa	64168	99.7%
ca	40	0.1%
md	22	< 0.1%
va	21	< 0.1%
tx	11	< 0.1%
or	6	< 0.1%
fl	5	< 0.1%
nv	5	< 0.1%
nc	5	< 0.1%
pa	4	< 0.1%
Other values (28)	55	0.1%

Most occurring characters

Value	Count	Frequency (%)
A	64246	49.9%
W	64170	49.9%
C	51	< 0.1%
M	30	< 0.1%
D	27	< 0.1%
V	26	< 0.1%
N	25	< 0.1%
T	20	< 0.1%
I	12	< 0.1%
X	11	< 0.1%
Other values (14)	66	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	128684	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	64246	49.9%
W	64170	49.9%
C	51	< 0.1%
M	30	< 0.1%
D	27	< 0.1%
V	26	< 0.1%
N	25	< 0.1%
T	20	< 0.1%
I	12	< 0.1%
X	11	< 0.1%
Other values (14)	66	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	128684	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	64246	49.9%
W	64170	49.9%
C	51	< 0.1%
M	30	< 0.1%
D	27	< 0.1%
V	26	< 0.1%
N	25	< 0.1%
T	20	< 0.1%
I	12	< 0.1%
X	11	< 0.1%
Other values (14)	66	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	128684	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	64246	49.9%
W	64170	49.9%
C	51	< 0.1%
M	30	< 0.1%
D	27	< 0.1%
V	26	< 0.1%
N	25	< 0.1%
T	20	< 0.1%
I	12	< 0.1%
X	11	< 0.1%
Other values (14)	66	0.1%

ZIP Code
Real number (ℝ)

High correlation Skewed

Distinct	678
Distinct (%)	1.1%
Missing	6
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	98143.453

Minimum	745
Maximum	99701
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	502.9 KiB

Quantile statistics

Minimum	745
5-th percentile	98006
Q1	98052
median	98121
Q3	98370
95-th percentile	98928.8
Maximum	99701
Range	98956
Interquartile range (IQR)	318

Descriptive statistics

Standard deviation	2856.0643
Coefficient of variation (CV)	0.029100915
Kurtosis	713.79388
Mean	98143.453
Median Absolute Deviation (MAD)	100
Skewness	-26.173729
Sum	6.3152368 × 10⁹
Variance	8157103.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
98052	1712	2.7%
98033	1223	1.9%
98004	1141	1.8%
98115	1105	1.7%
98012	1020	1.6%
98006	1007	1.6%
98040	975	1.5%
98074	933	1.4%
98103	897	1.4%
98034	862	1.3%
Other values (668)	53472	83.1%

Value	Count	Frequency (%)
745	1	< 0.1%
2124	1	< 0.1%
2127	1	< 0.1%
2842	1	< 0.1%
6340	1	< 0.1%
6371	1	< 0.1%
6379	1	< 0.1%
7094	1	< 0.1%
7438	1	< 0.1%
9751	1	< 0.1%

Value	Count	Frequency (%)
99701	1	< 0.1%
99567	1	< 0.1%
99403	25	< 0.1%
99402	6	< 0.1%
99362	136	0.2%
99361	5	< 0.1%
99360	4	< 0.1%
99357	7	< 0.1%
99356	2	< 0.1%
99354	126	0.2%

Model Year
Real number (ℝ)

Distinct	19
Distinct (%)	< 0.1%
Missing	7
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	2018.1862

Minimum	1993
Maximum	2022
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	502.9 KiB

Quantile statistics

Minimum	1993
5-th percentile	2013
Q1	2017
median	2018
Q3	2021
95-th percentile	2022
Maximum	2022
Range	29
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.7267417
Coefficient of variation (CV)	0.0013510853
Kurtosis	-0.046037675
Mean	2018.1862
Median Absolute Deviation (MAD)	2
Skewness	-0.67777241
Sum	1.2986221 × 10⁸
Variance	7.4351202
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
2021	13175	20.5%
2018	9750	15.2%
2020	7504	11.7%
2019	7382	11.5%
2017	6841	10.6%
2016	4425	6.9%
2022	3911	6.1%
2015	3481	5.4%
2013	3354	5.2%
2014	2642	4.1%
Other values (9)	1881	2.9%

Value	Count	Frequency (%)
1993	1	< 0.1%
1998	1	< 0.1%
1999	2	< 0.1%
2000	4	< 0.1%
2002	2	< 0.1%
2008	14	< 0.1%
2010	14	< 0.1%
2011	608	0.9%
2012	1235	1.9%
2013	3354	5.2%

Value	Count	Frequency (%)
2022	3911	6.1%
2021	13175	20.5%
2020	7504	11.7%
2019	7382	11.5%
2018	9750	15.2%
2017	6841	10.6%
2016	4425	6.9%
2015	3481	5.4%
2014	2642	4.1%
2013	3354	5.2%

Make
Categorical

High correlation

Distinct	34
Distinct (%)	0.1%
Missing	4
Missing (%)	< 0.1%
Memory size	502.9 KiB

TESLA	27903
NISSAN	8678
CHEVROLET	6651
FORD	3850
KIA	3066
Other values (29)	14201

Length

Max length	20
Median length	14
Mean length	5.5774604
Min length	3

Characters and Unicode

Total characters	358904
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	TESLA
2nd row	NISSAN
3rd row	BMW
4th row	CHEVROLET
5th row	CHEVROLET

Common Values

Value	Count	Frequency (%)
TESLA	27903	43.4%
NISSAN	8678	13.5%
CHEVROLET	6651	10.3%
FORD	3850	6.0%
KIA	3066	4.8%
BMW	2707	4.2%
TOYOTA	2700	4.2%
AUDI	1265	2.0%
VOLKSWAGEN	1217	1.9%
CHRYSLER	1091	1.7%
Other values (24)	5221	8.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tesla	27903	43.3%
nissan	8678	13.5%
chevrolet	6651	10.3%
ford	3850	6.0%
kia	3066	4.8%
bmw	2707	4.2%
toyota	2700	4.2%
audi	1265	2.0%
volkswagen	1217	1.9%
chrysler	1091	1.7%
Other values (29)	5254	8.2%

Most occurring characters

Value	Count	Frequency (%)
S	49429	13.8%
A	47683	13.3%
E	46043	12.8%
T	41252	11.5%
L	38000	10.6%
N	20721	5.8%
O	19732	5.5%
I	16395	4.6%
R	14014	3.9%
H	9997	2.8%
Other values (17)	55638	15.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	358904	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
S	49429	13.8%
A	47683	13.3%
E	46043	12.8%
T	41252	11.5%
L	38000	10.6%
N	20721	5.8%
O	19732	5.5%
I	16395	4.6%
R	14014	3.9%
H	9997	2.8%
Other values (17)	55638	15.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	358904	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
S	49429	13.8%
A	47683	13.3%
E	46043	12.8%
T	41252	11.5%
L	38000	10.6%
N	20721	5.8%
O	19732	5.5%
I	16395	4.6%
R	14014	3.9%
H	9997	2.8%
Other values (17)	55638	15.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	358904	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
S	49429	13.8%
A	47683	13.3%
E	46043	12.8%
T	41252	11.5%
L	38000	10.6%
N	20721	5.8%
O	19732	5.5%
I	16395	4.6%
R	14014	3.9%
H	9997	2.8%
Other values (17)	55638	15.5%

Model
Text

Distinct	107
Distinct (%)	0.2%
Missing	13
Missing (%)	< 0.1%
Memory size	502.9 KiB

Length

Max length	24
Median length	7
Mean length	6.2701585
Min length	2

Characters and Unicode

Total characters	403422
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	< 0.1%

Sample

1st row	MODEL 3
2nd row	LEAF
3rd row	I3
4th row	VOLT
5th row	BOLT EV

Value	Count	Frequency (%)
model	27870	27.7%
3	13138	13.1%
leaf	8679	8.6%
y	7622	7.6%
s	4710	4.7%
volt	3420	3.4%
ev	3221	3.2%
bolt	3042	3.0%
x	2400	2.4%
niro	2351	2.3%
Other values (97)	24165	24.0%

Most occurring characters

Value	Count	Frequency (%)
L	47516	11.8%
E	47198	11.7%
O	42399	10.5%
	36278	9.0%
M	31789	7.9%
D	29940	7.4%
A	18171	4.5%
3	15613	3.9%
I	15507	3.8%
F	12916	3.2%
Other values (28)	106095	26.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	403422	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
L	47516	11.8%
E	47198	11.7%
O	42399	10.5%
	36278	9.0%
M	31789	7.9%
D	29940	7.4%
A	18171	4.5%
3	15613	3.9%
I	15507	3.8%
F	12916	3.2%
Other values (28)	106095	26.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	403422	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
L	47516	11.8%
E	47198	11.7%
O	42399	10.5%
	36278	9.0%
M	31789	7.9%
D	29940	7.4%
A	18171	4.5%
3	15613	3.9%
I	15507	3.8%
F	12916	3.2%
Other values (28)	106095	26.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	403422	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
L	47516	11.8%
E	47198	11.7%
O	42399	10.5%
	36278	9.0%
M	31789	7.9%
D	29940	7.4%
A	18171	4.5%
3	15613	3.9%
I	15507	3.8%
F	12916	3.2%
Other values (28)	106095	26.3%

Electric Vehicle Type
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	502.9 KiB

Battery Electric Vehicle (BEV)	47869
Plug-in Hybrid Electric Vehicle (PHEV)	16484

Length

Max length	38
Median length	30
Mean length	32.049197
Min length	30

Characters and Unicode

Total characters	2062462
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Battery Electric Vehicle (BEV)
2nd row	Battery Electric Vehicle (BEV)
3rd row	Battery Electric Vehicle (BEV)
4th row	Plug-in Hybrid Electric Vehicle (PHEV)
5th row	Battery Electric Vehicle (BEV)

Common Values

Value	Count	Frequency (%)
Battery Electric Vehicle (BEV)	47869	74.4%
Plug-in Hybrid Electric Vehicle (PHEV)	16484	25.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
electric	64353	23.5%
vehicle	64353	23.5%
battery	47869	17.5%
bev	47869	17.5%
plug-in	16484	6.0%
hybrid	16484	6.0%
phev	16484	6.0%

Most occurring characters

Value	Count	Frequency (%)
e	240928	11.7%
	209543	10.2%
c	193059	9.4%
i	161674	7.8%
t	160091	7.8%
l	145190	7.0%
r	128706	6.2%
V	128706	6.2%
E	128706	6.2%
B	95738	4.6%
Other values (13)	470121	22.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2062462	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	240928	11.7%
	209543	10.2%
c	193059	9.4%
i	161674	7.8%
t	160091	7.8%
l	145190	7.0%
r	128706	6.2%
V	128706	6.2%
E	128706	6.2%
B	95738	4.6%
Other values (13)	470121	22.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2062462	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	240928	11.7%
	209543	10.2%
c	193059	9.4%
i	161674	7.8%
t	160091	7.8%
l	145190	7.0%
r	128706	6.2%
V	128706	6.2%
E	128706	6.2%
B	95738	4.6%
Other values (13)	470121	22.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2062462	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	240928	11.7%
	209543	10.2%
c	193059	9.4%
i	161674	7.8%
t	160091	7.8%
l	145190	7.0%
r	128706	6.2%
V	128706	6.2%
E	128706	6.2%
B	95738	4.6%
Other values (13)	470121	22.8%

Clean Alternative Fuel Vehicle (CAFV) Eligibility
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	502.9 KiB

Clean Alternative Fuel Vehicle Eligible	39948
Eligibility unknown as battery range has not been researched	14938
Not eligible due to low battery range	9467

Length

Max length	60
Median length	39
Mean length	43.580424
Min length	37

Characters and Unicode

Total characters	2804531
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Clean Alternative Fuel Vehicle Eligible
2nd row	Clean Alternative Fuel Vehicle Eligible
3rd row	Clean Alternative Fuel Vehicle Eligible
4th row	Clean Alternative Fuel Vehicle Eligible
5th row	Clean Alternative Fuel Vehicle Eligible

Common Values

Value	Count	Frequency (%)
Clean Alternative Fuel Vehicle Eligible	39948	62.1%
Eligibility unknown as battery range has not been researched	14938	23.2%
Not eligible due to low battery range	9467	14.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
eligible	49415	12.3%
clean	39948	10.0%
alternative	39948	10.0%
fuel	39948	10.0%
vehicle	39948	10.0%
battery	24405	6.1%
range	24405	6.1%
not	24405	6.1%
eligibility	14938	3.7%
as	14938	3.7%
Other values (7)	88153	22.0%

Most occurring characters

Value	Count	Frequency (%)
e	431537	15.4%
	336098	12.0%
l	297965	10.6%
i	238478	8.5%
n	178991	6.4%
t	177516	6.3%
a	173520	6.2%
r	118634	4.2%
b	103696	3.7%
g	88758	3.2%
Other values (16)	659338	23.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2804531	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	431537	15.4%
	336098	12.0%
l	297965	10.6%
i	238478	8.5%
n	178991	6.4%
t	177516	6.3%
a	173520	6.2%
r	118634	4.2%
b	103696	3.7%
g	88758	3.2%
Other values (16)	659338	23.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2804531	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	431537	15.4%
	336098	12.0%
l	297965	10.6%
i	238478	8.5%
n	178991	6.4%
t	177516	6.3%
a	173520	6.2%
r	118634	4.2%
b	103696	3.7%
g	88758	3.2%
Other values (16)	659338	23.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2804531	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	431537	15.4%
	336098	12.0%
l	297965	10.6%
i	238478	8.5%
n	178991	6.4%
t	177516	6.3%
a	173520	6.2%
r	118634	4.2%
b	103696	3.7%
g	88758	3.2%
Other values (16)	659338	23.5%

Electric Range
Real number (ℝ)

High correlation Zeros

Distinct	98
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	106.94898

Minimum	0
Maximum	337
Zeros	14938
Zeros (%)	23.2%
Negative	0
Negative (%)	0.0%
Memory size	502.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	14
median	73
Q3	215
95-th percentile	291
Maximum	337
Range	337
Interquartile range (IQR)	201

Descriptive statistics

Standard deviation	104.09392
Coefficient of variation (CV)	0.97330442
Kurtosis	-1.2733495
Mean	106.94898
Median Absolute Deviation (MAD)	73
Skewness	0.51100145
Sum	6882488
Variance	10835.544
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	14938	23.2%
215	4353	6.8%
84	2840	4.4%
220	2831	4.4%
238	2545	4.0%
208	1841	2.9%
19	1810	2.8%
25	1801	2.8%
53	1698	2.6%
291	1668	2.6%
Other values (88)	28028	43.6%

Value	Count	Frequency (%)
0	14938	23.2%
6	658	1.0%
8	25	< 0.1%
9	11	< 0.1%
10	97	0.2%
11	3	< 0.1%
12	100	0.2%
13	236	0.4%
14	795	1.2%
15	49	0.1%

Value	Count	Frequency (%)
337	40	0.1%
330	213	0.3%
322	1091	1.7%
308	344	0.5%
293	299	0.5%
291	1668	2.6%
289	436	0.7%
270	168	0.3%
266	1041	1.6%
265	105	0.2%

Base MSRP
Real number (ℝ)

Zeros

Distinct	37
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2524.9908

Minimum	0
Maximum	845000
Zeros	61263
Zeros (%)	95.2%
Negative	0
Negative (%)	0.0%
Memory size	502.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	845000
Range	845000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	12402.895
Coefficient of variation (CV)	4.9120557
Kurtosis	357.04375
Mean	2524.9908
Median Absolute Deviation (MAD)	0
Skewness	9.5630932
Sum	1.6249073 × 10⁸
Variance	1.5383181 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
0	61263	95.2%
69900	1062	1.7%
34600	359	0.6%
31950	305	0.5%
28500	148	0.2%
52900	143	0.2%
38500	127	0.2%
32250	113	0.2%
59900	105	0.2%
54950	101	0.2%
Other values (27)	627	1.0%

Value	Count	Frequency (%)
0	61263	95.2%
28500	148	0.2%
31950	305	0.5%
32000	1	< 0.1%
32250	113	0.2%
32995	1	< 0.1%
33950	64	0.1%
34600	359	0.6%
34995	34	0.1%
35390	9	< 0.1%

Value	Count	Frequency (%)
845000	1	< 0.1%
184400	9	< 0.1%
110950	14	< 0.1%
109000	6	< 0.1%
102000	11	< 0.1%
98950	14	< 0.1%
91250	1	< 0.1%
90700	12	< 0.1%
89100	5	< 0.1%
81100	11	< 0.1%

Legislative District
Real number (ℝ)

Distinct	50
Distinct (%)	0.1%
Missing	169
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	29.951904

Minimum	0
Maximum	49
Zeros	6
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	502.9 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	19
median	34
Q3	43
95-th percentile	48
Maximum	49
Range	49
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	14.661124
Coefficient of variation (CV)	0.48948887
Kurtosis	-0.96278929
Mean	29.951904
Median Absolute Deviation (MAD)	11
Skewness	-0.55273414
Sum	1922433
Variance	214.94855
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41	4292	6.7%
45	4160	6.5%
48	3786	5.9%
36	3047	4.7%
46	2782	4.3%
43	2749	4.3%
1	2607	4.1%
5	2604	4.0%
37	2092	3.3%
34	2041	3.2%
Other values (40)	34024	52.9%

Value	Count	Frequency (%)
0	6	< 0.1%
1	2607	4.1%
2	704	1.1%
3	340	0.5%
4	474	0.7%
5	2604	4.0%
6	580	0.9%
7	282	0.4%
8	697	1.1%
9	341	0.5%

Value	Count	Frequency (%)
49	930	1.4%
48	3786	5.9%
47	976	1.5%
46	2782	4.3%
45	4160	6.5%
44	1468	2.3%
43	2749	4.3%
42	984	1.5%
41	4292	6.7%
40	1578	2.5%

DOL Vehicle ID
Real number (ℝ)

Unique

Distinct	64353
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.9729049 × 10⁸

Minimum	4385
Maximum	4.7893457 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	502.9 KiB

Quantile statistics

Minimum	4385
5-th percentile	9169979.2
Q1	1.3728649 × 10⁸
median	1.753776 × 10⁸
Q3	2.2990389 × 10⁸
95-th percentile	4.753687 × 10⁸
Maximum	4.7893457 × 10⁸
Range	4.7893019 × 10⁸
Interquartile range (IQR)	92617406

Descriptive statistics

Standard deviation	1.0694665 × 10⁸
Coefficient of variation (CV)	0.54207705
Kurtosis	1.3295504
Mean	1.9729049 × 10⁸
Median Absolute Deviation (MAD)	42287833
Skewness	1.1076229
Sum	1.2696235 × 10¹³
Variance	1.1437585 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
477551595	1	< 0.1%
3551852	1	< 0.1%
476091101	1	< 0.1%
128820107	1	< 0.1%
128670930	1	< 0.1%
475980130	1	< 0.1%
476344011	1	< 0.1%
119561984	1	< 0.1%
176233130	1	< 0.1%
169401634	1	< 0.1%
Other values (64343)	64343	> 99.9%

Value	Count	Frequency (%)
4385	1	< 0.1%
4777	1	< 0.1%
10286	1	< 0.1%
10734	1	< 0.1%
12050	1	< 0.1%
23145	1	< 0.1%
27702	1	< 0.1%
35325	1	< 0.1%
46112	1	< 0.1%
61092	1	< 0.1%

Value	Count	Frequency (%)
478934571	1	< 0.1%
478926346	1	< 0.1%
478925947	1	< 0.1%
478925163	1	< 0.1%
478924358	1	< 0.1%
478916028	1	< 0.1%
478910428	1	< 0.1%
478909938	1	< 0.1%
478909224	1	< 0.1%
478909070	1	< 0.1%

Vehicle Location
Text

Distinct	668
Distinct (%)	1.0%
Missing	510
Missing (%)	0.8%
Memory size	502.9 KiB

Length

Max length	29
Median length	29
Mean length	28.836599
Min length	21

Characters and Unicode

Total characters	1841015
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	207 ?
Unique (%)	0.3%

Sample

1st row	POINT (-122.287614 47.83874)
2nd row	POINT (-122.414936 48.709388)
3rd row	POINT (-122.396286 47.293138)
4th row	POINT (-122.024951 47.670286)
5th row	POINT (-122.321062 47.103797)

Value	Count	Frequency (%)
point	63843	33.3%
122.122018	1712	0.9%
47.678465	1712	0.9%
122.188994	1223	0.6%
47.678406	1223	0.6%
122.132064	1201	0.6%
122.203169	1141	0.6%
47.619011	1141	0.6%
122.297534	1105	0.6%
47.685291	1105	0.6%
Other values (1326)	116123	60.6%

Most occurring characters

Value	Count	Frequency (%)
2	191579	10.4%
1	154429	8.4%
4	148731	8.1%
	127686	6.9%
.	127686	6.9%
7	119035	6.5%
6	89767	4.9%
3	83294	4.5%
8	76666	4.2%
5	76152	4.1%
Other values (10)	645990	35.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1841015	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	191579	10.4%
1	154429	8.4%
4	148731	8.1%
	127686	6.9%
.	127686	6.9%
7	119035	6.5%
6	89767	4.9%
3	83294	4.5%
8	76666	4.2%
5	76152	4.1%
Other values (10)	645990	35.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1841015	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	191579	10.4%
1	154429	8.4%
4	148731	8.1%
	127686	6.9%
.	127686	6.9%
7	119035	6.5%
6	89767	4.9%
3	83294	4.5%
8	76666	4.2%
5	76152	4.1%
Other values (10)	645990	35.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1841015	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	191579	10.4%
1	154429	8.4%
4	148731	8.1%
	127686	6.9%
.	127686	6.9%
7	119035	6.5%
6	89767	4.9%
3	83294	4.5%
8	76666	4.2%
5	76152	4.1%
Other values (10)	645990	35.1%

Electric Utility
Text

Missing

Distinct	68
Distinct (%)	0.1%
Missing	722
Missing (%)	1.1%
Memory size	502.9 KiB

Length

Max length	112
Median length	110
Mean length	44.71121
Min length	11

Characters and Unicode

Total characters	2845019
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	PUGET SOUND ENERGY INC
2nd row	PUGET SOUND ENERGY INC
3rd row	BONNEVILLE POWER ADMINISTRATION\|\|CITY OF TACOMA - (WA)\|\|PENINSULA LIGHT COMPANY
4th row	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)
5th row	BONNEVILLE POWER ADMINISTRATION\|\|CITY OF TACOMA - (WA)\|\|ELMHURST MUTUAL POWER & LIGHT CO\|PENINSULA LIGHT COMPANY

Value	Count	Frequency (%)
of	61826	12.8%
	57703	12.0%
wa	39461	8.2%
tacoma	38994	8.1%
sound	37342	7.7%
energy	37342	7.7%
puget	36953	7.7%
inc\|\|city	22555	4.7%
power	14249	3.0%
inc	12879	2.7%
Other values (101)	122680	25.5%

Most occurring characters

Value	Count	Frequency (%)
	418353	14.7%
O	209923	7.4%
N	199850	7.0%
T	199682	7.0%
A	193964	6.8%
E	185047	6.5%
I	154348	5.4%
C	154027	5.4%
Y	104142	3.7%
U	97774	3.4%
Other values (26)	927909	32.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2845019	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	418353	14.7%
O	209923	7.4%
N	199850	7.0%
T	199682	7.0%
A	193964	6.8%
E	185047	6.5%
I	154348	5.4%
C	154027	5.4%
Y	104142	3.7%
U	97774	3.4%
Other values (26)	927909	32.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2845019	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	418353	14.7%
O	209923	7.4%
N	199850	7.0%
T	199682	7.0%
A	193964	6.8%
E	185047	6.5%
I	154348	5.4%
C	154027	5.4%
Y	104142	3.7%
U	97774	3.4%
Other values (26)	927909	32.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2845019	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	418353	14.7%
O	209923	7.4%
N	199850	7.0%
T	199682	7.0%
A	193964	6.8%
E	185047	6.5%
I	154348	5.4%
C	154027	5.4%
Y	104142	3.7%
U	97774	3.4%
Other values (26)	927909	32.6%

Expected Price ($1k)
Text

Distinct	210
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	502.9 KiB

Length

Max length	6
Median length	2
Mean length	2.7491958
Min length	1

Characters and Unicode

Total characters	176919
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	< 0.1%

Sample

1st row	50
2nd row	15
3rd row	18
4th row	33.9
5th row	41.78

Value	Count	Frequency (%)
69	4816	7.5%
73	4767	7.4%
64	3632	5.6%
57	2791	4.3%
50	2524	3.9%
25	2033	3.2%
20	1952	3.0%
18	1944	3.0%
19	1754	2.7%
72	1668	2.6%
Other values (200)	36472	56.7%

Most occurring characters

Value	Count	Frequency (%)
2	20248	11.4%
3	18458	10.4%
5	17363	9.8%
6	16801	9.5%
.	16773	9.5%
7	16612	9.4%
9	16431	9.3%
1	15838	9.0%
0	14486	8.2%
4	12809	7.2%
Other values (3)	11100	6.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	176919	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	20248	11.4%
3	18458	10.4%
5	17363	9.8%
6	16801	9.5%
.	16773	9.5%
7	16612	9.4%
9	16431	9.3%
1	15838	9.0%
0	14486	8.2%
4	12809	7.2%
Other values (3)	11100	6.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	176919	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	20248	11.4%
3	18458	10.4%
5	17363	9.8%
6	16801	9.5%
.	16773	9.5%
7	16612	9.4%
9	16431	9.3%
1	15838	9.0%
0	14486	8.2%
4	12809	7.2%
Other values (3)	11100	6.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	176919	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	20248	11.4%
3	18458	10.4%
5	17363	9.8%
6	16801	9.5%
.	16773	9.5%
7	16612	9.4%
9	16431	9.3%
1	15838	9.0%
0	14486	8.2%
4	12809	7.2%
Other values (3)	11100	6.3%

	Base MSRP	Clean Alternative Fuel Vehicle (CAFV) Eligibility	DOL Vehicle ID	Electric Range	Electric Vehicle Type	Legislative District	Make	Model Year	State	ZIP Code
Base MSRP	1.000	0.024	0.026	0.032	0.025	-0.005	0.256	-0.193	0.023	0.004
Clean Alternative Fuel Vehicle (CAFV) Eligibility	0.024	1.000	0.361	0.671	0.727	0.046	0.592	0.454	0.002	0.007
DOL Vehicle ID	0.026	0.361	1.000	-0.057	0.088	-0.003	0.097	-0.147	0.000	-0.007
Electric Range	0.032	0.671	-0.057	1.000	0.634	0.036	0.450	-0.314	0.009	-0.051
Electric Vehicle Type	0.025	0.727	0.088	0.634	1.000	0.095	0.796	0.206	0.020	0.011
Legislative District	-0.005	0.046	-0.003	0.036	0.095	1.000	0.061	0.028	0.023	-0.365
Make	0.256	0.592	0.097	0.450	0.796	0.061	1.000	0.408	0.000	0.000
Model Year	-0.193	0.454	-0.147	-0.314	0.206	0.028	0.408	1.000	0.000	-0.071
State	0.023	0.002	0.000	0.009	0.020	0.023	0.000	0.000	1.000	0.973
ZIP Code	0.004	0.007	-0.007	-0.051	0.011	-0.365	0.000	-0.071	0.973	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	ID	VIN (1-10)	County	City	State	ZIP Code	Model Year	Make	Model	Electric Vehicle Type	Clean Alternative Fuel Vehicle (CAFV) Eligibility	Electric Range	Base MSRP	Legislative District	DOL Vehicle ID	Vehicle Location	Electric Utility	Expected Price ($1k)
0	EV33174	5YJ3E1EC6L	Snohomish	LYNNWOOD	WA	98037.0	2020.0	TESLA	MODEL 3	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	308	0	32.0	109821694	POINT (-122.287614 47.83874)	PUGET SOUND ENERGY INC	50
1	EV40247	JN1AZ0CP8B	Skagit	BELLINGHAM	WA	98229.0	2011.0	NISSAN	LEAF	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	73	0	40.0	137375528	POINT (-122.414936 48.709388)	PUGET SOUND ENERGY INC	15
2	EV12248	WBY1Z2C56F	Pierce	TACOMA	WA	98422.0	2015.0	BMW	I3	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	81	0	27.0	150627382	POINT (-122.396286 47.293138)	BONNEVILLE POWER ADMINISTRATION\|\|CITY OF TACOMA - (WA)\|\|PENINSULA LIGHT COMPANY	18
3	EV55713	1G1RD6E44D	King	REDMOND	WA	98053.0	2013.0	CHEVROLET	VOLT	Plug-in Hybrid Electric Vehicle (PHEV)	Clean Alternative Fuel Vehicle Eligible	38	0	45.0	258766301	POINT (-122.024951 47.670286)	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	33.9
4	EV28799	1G1FY6S05K	Pierce	PUYALLUP	WA	98375.0	2019.0	CHEVROLET	BOLT EV	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	238	0	25.0	296998138	POINT (-122.321062 47.103797)	BONNEVILLE POWER ADMINISTRATION\|\|CITY OF TACOMA - (WA)\|\|ELMHURST MUTUAL POWER & LIGHT CO\|PENINSULA LIGHT COMPANY	41.78
5	EV49859	KMHE24L10G	Clark	VANCOUVER	WA	98683.0	2016.0	HYUNDAI	SONATA PLUG-IN HYBRID	Plug-in Hybrid Electric Vehicle (PHEV)	Not eligible due to low battery range	27	34600	18.0	110121371	POINT (-122.510748 45.603727)	BONNEVILLE POWER ADMINISTRATION\|\|PUD NO 1 OF CLARK COUNTY - (WA)	16.365
6	EV35778	1G1FZ6S07L	King	SEATTLE	WA	98107.0	2020.0	CHEVROLET	BOLT EV	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	259	0	36.0	142015072	NaN	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	31.5
7	EV53121	5YJSA1E22G	Spokane	SPOKANE	WA	99224.0	2016.0	TESLA	MODEL S	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	210	0	6.0	349565044	POINT (-117.505436 47.633834)	MODERN ELECTRIC WATER COMPANY	65
8	EV46881	1N4BZ0CP9H	King	BOTHELL	WA	98011.0	2017.0	NISSAN	LEAF	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	107	0	1.0	327624048	POINT (-122.197147 47.757791)	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	19
9	EV32004	1N4BZ0CP4G	King	KENMORE	WA	98028.0	2016.0	NISSAN	LEAF	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	84	0	46.0	148960990	POINT (-122.246193 47.755504)	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	27

	ID	VIN (1-10)	County	City	State	ZIP Code	Model Year	Make	Model	Electric Vehicle Type	Clean Alternative Fuel Vehicle (CAFV) Eligibility	Electric Range	Legislative District	DOL Vehicle ID	Vehicle Location	Electric Utility	Expected Price ($1k)
64343	EV73428	2C4RC1S79N	Kitsap	BAINBRIDGE ISLAND	WA	98110.0	2022.0	CHRYSLER	PACIFICA	Plug-in Hybrid Electric Vehicle (PHEV)	Clean Alternative Fuel Vehicle Eligible	32	23.0	189998441	POINT (-122.534497 47.643688)	PUGET SOUND ENERGY INC	38
64344	EV1574	5YJYGDEF6M	King	SHORELINE	WA	98177.0	2021.0	TESLA	MODEL Y	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	32.0	166439997	POINT (-122.370159 47.743354)	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	73
64345	EV67089	5YJ3E1EA8N	King	SEATTLE	WA	98144.0	2022.0	TESLA	MODEL 3	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	37.0	183477598	POINT (-122.30033 47.585339)	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	64
64346	EV24820	YV4ED3UR6N	King	SEATTLE	WA	98116.0	2022.0	VOLVO	XC40	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	34.0	186988966	POINT (-122.394511 47.574001)	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	95
64347	EV46111	1N4AZ0CP9D	Kitsap	POULSBO	WA	98370.0	2013.0	NISSAN	LEAF	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	75	23.0	263375976	POINT (-122.633393 47.748427)	PUGET SOUND ENERGY INC	18
64348	EV6357	KNDCE3LG7L	King	SEATTLE	WA	98144.0	2020.0	KIA	NIRO	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	239	37.0	156575107	POINT (-122.30033 47.585339)	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	33
64349	EV423	JTDKN3DP2D	Pierce	TACOMA	WA	98402.0	2013.0	TOYOTA	PRIUS PLUG-IN	Plug-in Hybrid Electric Vehicle (PHEV)	Not eligible due to low battery range	6	27.0	211048701	POINT (-122.443211 47.252172)	BONNEVILLE POWER ADMINISTRATION\|\|CITY OF TACOMA - (WA)\|\|PENINSULA LIGHT COMPANY	13.3
64350	EV27852	1G1FX6S05J	King	SEATTLE	WA	98119.0	2018.0	CHEVROLET	BOLT EV	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	238	36.0	135543411	POINT (-122.367721 47.639264)	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	22.857
64351	EV830	WP1AE2A24H	King	SEATTLE	WA	98115.0	2017.0	PORSCHE	CAYENNE	Plug-in Hybrid Electric Vehicle (PHEV)	Not eligible due to low battery range	14	46.0	192459907	POINT (-122.297534 47.685291)	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	45.7
64352	EV11120	1N4BZ1CP8K	Lewis	TOLEDO	WA	98591.0	2019.0	NISSAN	LEAF	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	150	20.0	477551595	POINT (-122.800917 46.444012)	BONNEVILLE POWER ADMINISTRATION\|\|CITY OF TACOMA - (WA)\|\|PUD NO 1 OF LEWIS COUNTY	35

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters